{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2020 Dask User Survey Results\n",
    "\n",
    "This notebook presents the results of the 2020 Dask User Survey,\n",
    "which ran earlier this summer. Thanks to everyone who took the time to fill out the survey!\n",
    "These results help us better understand the Dask community and will guide future development efforts.\n",
    "\n",
    "The raw data, as well as the start of an analysis, can be found in this binder:\n",
    "\n",
    "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dask/dask-examples/master?filepath=surveys/2020.ipynb)\n",
    "\n",
    "Let us know if you find anything in the data.\n",
    "\n",
    "## Highlights\n",
    "\n",
    "We had 240 responses to the survey (slightly fewer than last year, which had about 260). Overall things were similar to last year's. The biggest shift in the community is a stronger demand for better performance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import textwrap\n",
    "import re\n",
    "\n",
    "\n",
    "df2019 = (\n",
    "    pd.read_csv(\"data/2019-user-survey-results.csv.gz\", parse_dates=[\"Timestamp\"])\n",
    "      .replace({\"How often do you use Dask?\": \"I use Dask all the time, even when I sleep\"}, \"Every day\")\n",
    ")\n",
    "\n",
    "df2020 = (\n",
    "    pd.read_csv(\"data/2020-user-survey-results.csv.gz\")\n",
    "      .assign(Timestamp=lambda df: pd.to_datetime(df['Timestamp'], format=\"%Y/%m/%d %H:%M:%S %p %Z\").astype('datetime64[ns]'))\n",
    "      .replace({\"How often do you use Dask?\": \"I use Dask all the time, even when I sleep\"}, \"Every day\")\n",
    ")\n",
    "df2020.head()\n",
    "\n",
    "common = df2019.columns & df2020.columns\n",
    "added = df2020.columns.difference(df2019.columns)\n",
    "dropped = df2019.columns.difference(df2020.columns)\n",
    "\n",
    "df = pd.concat([df2019, df2020])\n",
    "df['Year'] = df.Timestamp.dt.year\n",
    "df = df.set_index(['Year', 'Timestamp']).sort_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most of the questions are the same as in 2019. We added a couple questions about deployment and dashboard usage. Let's look at those first.\n",
    "\n",
    "Among respondents who use a Dask package to deploy a cluster (about 53% of respondents), there's a wide spread of methods."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "k = 'Do you use Dask projects to deploy?'\n",
    "d = df2020['Do you use Dask projects to deploy?'].dropna().str.split(\";\").explode()\n",
    "top = d.value_counts()\n",
    "top = top[top > 10].index\n",
    "sns.countplot(y=k, data=d[d.isin(top)].to_frame(), order=top);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most people access the dashboard through a web browser. Those not using the dashboard are likely (hopefully) just using Dask on a single machine with the threaded scheduler (though the dashboard works fine on a single machine as well)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "k = \"How do you view Dask's dashboard?\"\n",
    "sns.countplot(y=k, data=df2020[k].dropna().str.split(\";\").explode().to_frame());"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dask's learning materials are farily similar to last year. The most notable differences are from\n",
    "our survey form providing more options (our [YouTube channel](https://www.youtube.com/channel/UCj9eavqmvwaCyKhIlu2GaoA) and \"Gitter chat\"). Other than that, https://examples.dask.org might be relatively more popular."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "k = 'What Dask resources have you used for support in the last six months?'\n",
    "\n",
    "resource_map = {\n",
    "    \"Tutorial\": \"Tutorial at tutorial.dask.org\",\n",
    "    \"YouTube\": \"YouTube channel\",\n",
    "    \"gitter\": \"Gitter chat\"\n",
    "}\n",
    "\n",
    "d = df[k].str.split(';').explode().replace(resource_map)\n",
    "top = d.value_counts()[:8].index\n",
    "d = d[d.isin(top)]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "ax = sns.countplot(y=k, hue=\"Year\", data=d.reset_index(), ax=ax);\n",
    "ax.set(ylabel=\"\", title=k);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How do you use Dask?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Just like last year, we'll look at resource usage grouped by how often they use Dask."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "resource_palette = (\n",
    "    df['What Dask resources have you used for support in the last six months?'].str.split(\";\").explode().replace(resource_map).replace(re.compile(\"GitHub.*\"), \"GitHub\").value_counts()[:6].index\n",
    ")\n",
    "resource_palette = dict(zip(resource_palette, sns.color_palette(\"Paired\")))\n",
    "\n",
    "usage_order = ['Every day', 'Occasionally', 'Just looking for now']\n",
    "\n",
    "def resource_plot(df, year, ax):\n",
    "    resources = (\n",
    "        df.loc[year, 'What Dask resources have you used for support in the last six months?']\n",
    "          .str.split(\";\")\n",
    "          .explode()\n",
    "          .replace(resource_map)\n",
    "    )\n",
    "    top = resources.value_counts().head(6).index\n",
    "    resources = resources[resources.isin(top)]\n",
    "\n",
    "    m = (\n",
    "        pd.merge(df.loc[year, ['How often do you use Dask?']], resources, left_index=True, right_index=True)\n",
    "          .replace(re.compile(\"GitHub.*\"), \"GitHub\")\n",
    "    )\n",
    "\n",
    "    ax = sns.countplot(hue=\"What Dask resources have you used for support in the last six months?\",\n",
    "                  y='How often do you use Dask?',\n",
    "                  order=usage_order,\n",
    "                  data=m, ax=ax,\n",
    "                  hue_order=list(resource_palette),\n",
    "                  palette=resource_palette)\n",
    "    sns.despine()\n",
    "    return ax\n",
    "\n",
    "fig, axes = plt.subplots(figsize=(20, 10), ncols=2)\n",
    "ax1 = resource_plot(df, 2019, axes[0])\n",
    "ax2 = resource_plot(df, 2020, axes[1])\n",
    "ax1.set_title(\"2019\")\n",
    "ax2.set_title(\"2020\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A few observations\n",
    "\n",
    "\n",
    "* GitHub issues are becoming relatively less popular among moderate and heavy Dask users, which perhaps reflects better documentation or stability (assuming people go to the issue tracker when they can't find the answer in the docs or they hit a bug).\n",
    "* https://examples.dask.org is notably now more popular among occasinal users.\n",
    "* In response to last year's survey, we invested time in making https://tutorial.dask.org better, which we previously felt was lacking. Its usage is still about the same as last year's (pretty popular), so it's unclear whether we should dedicate additional focus there.\n",
    "\n",
    "API usage remains about the same as last year (recall that about 20 fewer people took the survey and people can select multiple, so relative differences are most interesting). We added new choices for RAPIDS, Prefect, and XGBoost, each of which are somewhat popular (in the neighborhood of `dask.Bag`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "apis = df['Dask APIs'].str.split(\";\").explode()\n",
    "top = apis.value_counts().loc[lambda x: x > 10]\n",
    "apis = apis[apis.isin(top.index)].reset_index()\n",
    "\n",
    "sns.countplot(y=\"Dask APIs\", hue=\"Year\", data=apis);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Just like last year, about 65% of our users are using Dask on a cluster at least some of the time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Year\n",
       "2019    0.654902\n",
       "2020    0.666667\n",
       "Name: Local machine or Cluster?, dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Local machine or Cluster?'].dropna().str.contains(\"Cluster\").astype(int).groupby(\"Year\").mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "But the majority of respondents *also* use Dask on their laptop.\n",
    "This highlights the importance of Dask scaling down, either for\n",
    "prototyping with a `LocalCluster`, or for out-of-core analysis\n",
    "using `LocalCluster` or one of the single-machine schedulers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "order = [\n",
    "    'Personal laptop',\n",
    "    'Large workstation',\n",
    "    'Cluster of 2-10 machines',\n",
    "    'Cluster with 10-100 machines',\n",
    "    'Cluster with 100+ machines'\n",
    "]\n",
    "d = df['Local machine or Cluster?'].str.split(\";\").explode().reset_index()\n",
    "sns.countplot(y=\"Local machine or Cluster?\", data=d, hue=\"Year\", order=order);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Just like last year, most repondents thought that more documentation and examples would be the most valuable improvements to the project.\n",
    "\n",
    "One interesting change comes from looking at \"Which would help you most right now?\" split by API group (`dask.dataframe`, `dask.array`, etc.). Last year showed that \"More examples\" in my field was the most important for all API groups (first table below). But in 2020 there are some differences (second plot below)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        }</style><table id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87\" ><caption>2019 normalized by row. Darker means that a higher proporiton of users of that API prefer that priority.</caption><thead>    <tr>        <th class=\"index_name level0\" >Which would help you most right now?</th>        <th class=\"col_heading level0 col0\" >Bug fixes</th>        <th class=\"col_heading level0 col1\" >More documentation</th>        <th class=\"col_heading level0 col2\" >More examples in my field</th>        <th class=\"col_heading level0 col3\" >New features</th>        <th class=\"col_heading level0 col4\" >Performance improvements</th>    </tr>    <tr>        <th class=\"index_name level0\" >Dask APIs</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87level0_row0\" class=\"row_heading level0 row0\" >Array</th>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row0_col0\" class=\"data row0 col0\" >10</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row0_col1\" class=\"data row0 col1\" >24</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row0_col2\" class=\"data row0 col2\" >62</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row0_col3\" class=\"data row0 col3\" >15</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row0_col4\" class=\"data row0 col4\" >25</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87level0_row1\" class=\"row_heading level0 row1\" >Bag</th>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row1_col0\" class=\"data row1 col0\" >3</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row1_col1\" class=\"data row1 col1\" >11</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row1_col2\" class=\"data row1 col2\" >16</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row1_col3\" class=\"data row1 col3\" >10</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row1_col4\" class=\"data row1 col4\" >7</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87level0_row2\" class=\"row_heading level0 row2\" >DataFrame</th>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row2_col0\" class=\"data row2 col0\" >16</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row2_col1\" class=\"data row2 col1\" >32</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row2_col2\" class=\"data row2 col2\" >71</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row2_col3\" class=\"data row2 col3\" >39</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row2_col4\" class=\"data row2 col4\" >26</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87level0_row3\" class=\"row_heading level0 row3\" >Delayed</th>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row3_col0\" class=\"data row3 col0\" >16</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row3_col1\" class=\"data row3 col1\" >22</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row3_col2\" class=\"data row3 col2\" >55</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row3_col3\" class=\"data row3 col3\" >26</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row3_col4\" class=\"data row3 col4\" >27</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87level0_row4\" class=\"row_heading level0 row4\" >Futures</th>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row4_col0\" class=\"data row4 col0\" >12</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row4_col1\" class=\"data row4 col1\" >9</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row4_col2\" class=\"data row4 col2\" >25</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row4_col3\" class=\"data row4 col3\" >20</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row4_col4\" class=\"data row4 col4\" >17</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87level0_row5\" class=\"row_heading level0 row5\" >ML</th>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row5_col0\" class=\"data row5 col0\" >5</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row5_col1\" class=\"data row5 col1\" >11</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row5_col2\" class=\"data row5 col2\" >23</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row5_col3\" class=\"data row5 col3\" >11</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row5_col4\" class=\"data row5 col4\" >7</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87level0_row6\" class=\"row_heading level0 row6\" >Xarray</th>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row6_col0\" class=\"data row6 col0\" >8</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row6_col1\" class=\"data row6 col1\" >11</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row6_col2\" class=\"data row6 col2\" >34</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row6_col3\" class=\"data row6 col3\" >7</td>\n",
       "                        <td id=\"T_bcc8d996_eb8c_11ea_86e1_186590cd1c87row6_col4\" class=\"data row6 col4\" >9</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1216f5340>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "help_by_api = (\n",
    "    pd.merge(\n",
    "        df.loc[2019, 'Dask APIs'].str.split(';').explode(),\n",
    "        df.loc[2019, 'Which would help you most right now?'],\n",
    "        left_index=True, right_index=True)\n",
    "    .groupby('Which would help you most right now?')['Dask APIs'].value_counts()\n",
    "    .unstack(fill_value=0).T\n",
    "    .loc[['Array', 'Bag', 'DataFrame', 'Delayed', 'Futures', 'ML', 'Xarray']]\n",
    "    \n",
    ")\n",
    "(\n",
    "    help_by_api\n",
    "        .style\n",
    "        .background_gradient(axis=\"columns\")\n",
    "        .set_caption(\"2019 normalized by row. Darker means that a higher proporiton of \"\n",
    "                     \"users of that API prefer that priority.\")\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "            color:  #000000;\n",
       "        }#T_bccdb524_eb8c_11ea_86e1_186590cd1c87row5_col4{\n",
       "            background-color:  #80aed2;\n",
       "            color:  #000000;\n",
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       "            background-color:  #f8f1f8;\n",
       "            color:  #000000;\n",
       "        }#T_bccdb524_eb8c_11ea_86e1_186590cd1c87row6_col3{\n",
       "            background-color:  #c9cee4;\n",
       "            color:  #000000;\n",
       "        }#T_bccdb524_eb8c_11ea_86e1_186590cd1c87row6_col4{\n",
       "            background-color:  #86b0d3;\n",
       "            color:  #000000;\n",
       "        }</style><table id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87\" ><caption>2020 normalized by row. Darker means that a higher proporiton of users of that API prefer that priority.</caption><thead>    <tr>        <th class=\"index_name level0\" >Which would help you most right now?</th>        <th class=\"col_heading level0 col0\" >Bug fixes</th>        <th class=\"col_heading level0 col1\" >More documentation</th>        <th class=\"col_heading level0 col2\" >More examples in my field</th>        <th class=\"col_heading level0 col3\" >New features</th>        <th class=\"col_heading level0 col4\" >Performance improvements</th>    </tr>    <tr>        <th class=\"index_name level0\" >Dask APIs</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87level0_row0\" class=\"row_heading level0 row0\" >Array</th>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row0_col0\" class=\"data row0 col0\" >12</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row0_col1\" class=\"data row0 col1\" >16</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row0_col2\" class=\"data row0 col2\" >56</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row0_col3\" class=\"data row0 col3\" >15</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row0_col4\" class=\"data row0 col4\" >23</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87level0_row1\" class=\"row_heading level0 row1\" >Bag</th>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row1_col0\" class=\"data row1 col0\" >7</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row1_col1\" class=\"data row1 col1\" >5</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row1_col2\" class=\"data row1 col2\" >24</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row1_col3\" class=\"data row1 col3\" >7</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row1_col4\" class=\"data row1 col4\" >16</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87level0_row2\" class=\"row_heading level0 row2\" >DataFrame</th>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row2_col0\" class=\"data row2 col0\" >24</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row2_col1\" class=\"data row2 col1\" >21</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row2_col2\" class=\"data row2 col2\" >67</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row2_col3\" class=\"data row2 col3\" >22</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row2_col4\" class=\"data row2 col4\" >41</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87level0_row3\" class=\"row_heading level0 row3\" >Delayed</th>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row3_col0\" class=\"data row3 col0\" >15</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row3_col1\" class=\"data row3 col1\" >19</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row3_col2\" class=\"data row3 col2\" >46</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row3_col3\" class=\"data row3 col3\" >17</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row3_col4\" class=\"data row3 col4\" >34</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87level0_row4\" class=\"row_heading level0 row4\" >Futures</th>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row4_col0\" class=\"data row4 col0\" >9</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row4_col1\" class=\"data row4 col1\" >10</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row4_col2\" class=\"data row4 col2\" >21</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row4_col3\" class=\"data row4 col3\" >13</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row4_col4\" class=\"data row4 col4\" >24</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87level0_row5\" class=\"row_heading level0 row5\" >ML</th>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row5_col0\" class=\"data row5 col0\" >6</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row5_col1\" class=\"data row5 col1\" >4</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row5_col2\" class=\"data row5 col2\" >21</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row5_col3\" class=\"data row5 col3\" >9</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row5_col4\" class=\"data row5 col4\" >12</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87level0_row6\" class=\"row_heading level0 row6\" >Xarray</th>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row6_col0\" class=\"data row6 col0\" >3</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row6_col1\" class=\"data row6 col1\" >4</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row6_col2\" class=\"data row6 col2\" >25</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row6_col3\" class=\"data row6 col3\" >9</td>\n",
       "                        <td id=\"T_bccdb524_eb8c_11ea_86e1_186590cd1c87row6_col4\" class=\"data row6 col4\" >13</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x124abfbb0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "help_by_api = (\n",
    "    pd.merge(\n",
    "        df.loc[2020, 'Dask APIs'].str.split(';').explode(),\n",
    "        df.loc[2020, 'Which would help you most right now?'],\n",
    "        left_index=True, right_index=True)\n",
    "    .groupby('Which would help you most right now?')['Dask APIs'].value_counts()\n",
    "    .unstack(fill_value=0).T\n",
    "    .loc[['Array', 'Bag', 'DataFrame', 'Delayed', 'Futures', 'ML', 'Xarray']]\n",
    "    \n",
    ")\n",
    "(\n",
    "    help_by_api\n",
    "        .style\n",
    "        .background_gradient(axis=\"columns\")\n",
    "        .set_caption(\"2020 normalized by row. Darker means that a higher proporiton of \"\n",
    "                     \"users of that API prefer that priority.\")\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Examples are again the most important (for all API groups except `Futures`). But \"Performance improvements\" is now the second-most important field (except for `Futures` where it's most important). How should we interpret this? A charitable interpretation is that Dask's users are scaling to larger problems and are running into new scaling challenges. A less charitable interpretation is that our user's workflows are the same but Dask is getting slower!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Common Feature Requests\n",
    "\n",
    "For specific features, we made a list of things that we (as developers) thought might be important."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x3600 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "common = (df[df.columns[df.columns.str.startswith(\"What common feature\")]]\n",
    "          .rename(columns=lambda x: x.lstrip(\"What common feature requests do you care about most?[\").rstrip(r\"]\")))\n",
    "a = common.loc[2019].apply(pd.value_counts).T.stack().reset_index().rename(columns={'level_0': 'Question', 'level_1': \"Importance\", 0: \"count\"}).assign(Year=2019)\n",
    "b = common.loc[2020].apply(pd.value_counts).T.stack().reset_index().rename(columns={'level_0': 'Question', 'level_1': \"Importance\", 0: \"count\"}).assign(Year=2020)\n",
    "\n",
    "counts = pd.concat([a, b], ignore_index=True)\n",
    "\n",
    "d = common.stack().reset_index().rename(columns={\"level_2\": \"Feature\", 0: \"Importance\"})\n",
    "order = [\"Not relevant for me\", \"Somewhat useful\", 'Critical to me']\n",
    "sns.catplot('Importance', row=\"Feature\", kind=\"count\", col=\"Year\", data=d, sharex=False, order=order);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There really aren't any changes compared to last year in the relative importance of each feature. Perhaps the biggest movement was in \"Ease of deployment\" where \"Critical to me\" is now relatively more popular (though it was the most popular even last year).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What other systems do you use?\n",
    "\n",
    "SSH continues to be the most popular \"cluster resource mananger\". This was the big surprise last year, so we put in some work to make it nicer. Aside from that, not much has changed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "c = df['If you use a cluster, how do you launch Dask? '].dropna().str.split(\";\").explode()\n",
    "top = c.value_counts().index[:6]\n",
    "sns.countplot(y=\"If you use a cluster, how do you launch Dask? \", data=c[c.isin(top)].reset_index(), hue=\"Year\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dask users are about as happy with its stability as last year."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# fig, ax = plt.subplots(figsize=(9, 6))\n",
    "sns.countplot(y=\"Is Dask stable enough for you?\", hue=\"Year\", data=df.reset_index())\n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Takeaways\n",
    "\n",
    "1. Overall, most things are similar to last year.\n",
    "2. Documentation, especially domain-specific examples, continues to be important.\n",
    "3. More users are pushing Dask further. Investing in performance is likely to be valuable.\n",
    "\n",
    "Thanks again to all the respondents. We look forward to repeating this process to identify trends over time."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
